Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses
- Journal
- Chemical Society Reviews
In The Last Decade
doi.org/10.1039/d2cs00757f →Countries where authors are citing Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses
This map shows the geographic impact of Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses more than expected).
Fields of papers citing Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses
This network shows the impact of Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses.
About Organometallic anti-tumor agents: targeting from biomolecules to dynamic bioprocesses
This paper, published in 2023, received 116 indexed citations . Written by Kun Peng, Yupeng Zheng, Wei Xia and Zong‐Wan Mao covering the research area of Organic Chemistry, Oncology and Epidemiology. It is primarily cited by scholars working on Molecular Biology (40 citations), Biomedical Engineering (36 citations) and Oncology (35 citations). Published in Chemical Society Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/10.1039/d2cs00757f.